Data Quality and Record Linkage Techniques
This book helps practitioners gain a deeper understanding, at an applied level, of the issues involved in improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models. Here, we focus on the Fellegi-Holt edit-imputation model, the Li...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2007, 2007
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| Edition: | 1st ed. 2007 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Data Quality: What It is, Why It is Important, and How to Achieve It
- What is Data Quality and Why Should We Care?
- Examples of Entities Using Data\break to their Advantage/Disadvantage
- Properties of Data Quality and Metrics for Measuring It
- Basic Data Quality Tools
- Specialized Tools for Database Improvement
- Mathematical Preliminaries for Specialized Data Quality Techniques
- Automatic Editing and Imputation of Sample Survey Data
- Record Linkage – Methodology
- Estimating the Parameters of the Fellegi–Sunter Record Linkage Model
- Standardization and Parsing
- Phonetic Coding Systems for Names
- Blocking
- String Comparator Metrics for Typographical Error
- Record Linkage Case Studies
- Duplicate FHA Single-Family Mortgage Records
- Record Linkage Case Studies in the Medical, Biomedical, and Highway Safety Areas
- Constructing List Frames and Administrative Lists
- Social Security and Related Topics
- Other Topics
- Confidentiality: Maximizing Access to Micro-data while Protecting Privacy
- Review of Record Linkage Software
- Summary Chapter